• Sandesh Zanwar
• Priyanka Nangare
• Vaibhav Supe
• Jayaprabha Yadav

Minutiae, those irregularities in the ridges on a finger of a person are rich in details, are unique to every individual. Thus, extraction of biometric pattern of these minutiae from sample data of fingerprint forms the prime task in formation of automatic fingerprint recognition system. To authenticate a person’s identity a NIST reference system is used for matching minutiae patterns on a finger. It starts with binarization of each grayscale input image for locating minutiae points. Then a finger print matcher, using a digital image processing compares input search with all available data samples to make a conclusion of most probable existing match. No subject will be required to carry hard documents with this recognition system being in usage. Technological advancement towards mobile and handheld devices like tablets will only promote this mechanism. The proposed work envisages a process of paperless documentation using superlative features of android application developments and concepts like multithreading for thumb recognition simplifying tedious tasks similar to that of governments’.

Biometrics, BOZORTH3, NIST, Thumb Recognition

"A Proposed Scheme for Fingerprint Recognition System Using Bozorth3 Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 5, page no.269-270, May-2017, Available :http://www.jetir.org/papers/JETIR1705056.pdf

"A Proposed Scheme for Fingerprint Recognition System Using Bozorth3 Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 5, page no. pp269-270, May-2017, Available at : http://www.jetir.org/papers/JETIR1705056.pdf